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event
1730990459
1730990530
<![CDATA[Ph.D. Dissertation Defense - Hu Hu]]>
Title: Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge TransferCommittee:
Dr. Chin-Hui Lee, ECE, Chair, Advisor
Dr. David Anderson, ECE
Dr. Larry Heck, ECE
Dr. Elliot Moore, ECE
Dr. Sabato Marco Siniscalchi, U of Palermo
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This dissertation proposes a Bayesian adaptive learning framework that focuses on estimating a manageable number of latent variables. We explore both variational Bayesian (VB) and maximum a posteriori (MAP) estimation techniques within this framework. Experimental results on acoustic scene classification and spoken command recognition tasks demonstrate that our approach outperforms other knowledge transfer methods.]]>
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